A METHOD OF PRECISION CANCER THERAPY

Abstract

The present invention relates to a method of treatment of cancer, said method comprising administering an effective dose of a protein kinase inhibitor to a patient in need thereof having said cancer. The present invention also relates to a method of post-transcriptional control of cancer-related genes comprising administering an effective amount of a protein kinase inhibitor to a subject in need thereof. The present invention further relates to a method of identifying a protein kinase inhibitor for normalizing post-transcriptional regulation as precision cancer therapy.

Claims

1. A method of identifying a protein kinase inhibitor for normalizing post-transcriptional regulation as precision cancer therapy comprising the following steps: a) transfecting cancer cells or a tissue of a cancer patient with at least one expression vector comprising: i) a promoter region comprising a non-inducible constitutively active ribosomal protein gene promoter; ii) a reporter gene; and iii) a 3′ untranslated region (3′ UTR) containing an AU-rich element, wherein said reporter gene is operably linked to said promoter region and said 3′ UTR; b) providing one or more protein kinase inhibitor(s) to be tested; c), incubating the cells or a tissue created in step a) with said one or more protein kinase inhibitor(s) to be tested; d) determining a normalizing effect of said one or more protein kinase inhibitor(s) on post-transcriptional regulation by determining a reporter activity, wherein a reduction in reporter activity indicates that said one or more protein kinase inhibitor(s) is/are suitable for targeted cancer therapy.

2. The method according to claim 1, wherein the precision cancer therapy is a pan-cancer precision oncology therapy capable of treating a cancer regardless of the tissue type or subtype or molecular sub-type of the cancer.

3. The method according to claim 1, where the precision cancer therapy is a universal single assay.

4. The method according to claim 1, wherein said protein kinase inhibitor is co-administered with a chemotherapeutic agent, checkpoint inhibitor, therapeutic monoclonal antibody, interferon, cytokine inhibitor, and/or a small molecule drug.

5. The method according to claim 4, wherein said checkpoint inhibitor is selected from CTLA-4, PD-1, and PD-L1 targeting agents.

6. The method according to claim 4, wherein said checkpoint inhibitor is selected from the group consisting of ipilimumab, tremelimumab, nivolumab, MK-3475, MPDL-3280A, MEDI-4736, and BMS-936559.

7. The method according claim 1, wherein, in said precision cancer therapy, a cancer-related gene is post-transcriptionally normalized by administering said protein kinase inhibitor.

8. The method according claim 1, wherein, in said precision cancer therapy, a gene encoding a proinflammatory cytokine is post-transcriptionally normalized by administering said protein kinase inhibitor.

9. The method according to claim 7, wherein said administering of said protein kinase inhibitor results in a reduction of expression of a mRNA comprising an AU-rich element.

10. The method according to claim 1, wherein said protein kinase inhibitor is selected from inhibitors of kinases of which a kinase activity is aberrant in cancer.

11. The method according to claim 1, wherein the promoter comprises a modified promoter of the human RPS30 gene that has the nucleic acid sequence of SEQ ID NO:3 (RPS30M1) or SEQ ID NO:4 (RPS30M-truncated).

12. The method according to claim 1, wherein the reduction is a reduction by at least 20%.

13. The method, according to claim 2, wherein the cancer is selected from solid tumors, hematological tumors, leukemias, lymphomas, and organic-specific tumors.

14. The method according to claim 13, wherein the organic-specific tumor is a breast, colon, prostate or liver tumor.

15. The method according to claim 2, wherein the cancer is a metastatic tumor.

16. The method according to claim 15, wherein the metastatic cancer is hormone negative, Microsatellite Instability high or low, or p53 mutant cancer.

Description

BRIEF DESCRIPTION OF THE FIGURES

[0135] FIG. 1: Kinome inhibitors screening on post-transcriptional gene regulation. [0136] (A) 387 Kinase inhibitors screen scatter plot: AU-rich element luciferase reporter activity absolute values are plotted on the y axis against 378 corresponding kinase inhibitors on the x axis using a primary screening leading to 87 (A) and secondary screening (B).

[0137] FIG. 2: The post-transcriptional precision cancer assay leads to 14 inhibitors. [0138] Luciferase activity in MDA MB231 cell line treated with DMSO (control) and several inhibitors from the screen. Columns, mean value of experiments done in triplicate; bars, standard error of the mean (SEM), normalized luciferase activity (fold) relates to ARE/non-ARE ratio. The bottom show the inhibitors and the targeted kinase pathway.

[0139] FIG. 3: The effect of different kinase inhibitors on AU-rich mRNA levels. DMOS-treated readings are control. Values are shown as mean±SEM and statistical analysis was performed using Student's t-test.

[0140] FIG. 4: Effect of an example of protein kinase inhibitor, volasertib, which is PLK1 inhibitor on the expression of various cancer-related genes having ARE-containing mRNAs. mRNA expression of IL-8, uPA, uPAR, SLC2A1, CXCR4, MMP13 is shown for control cells and volasertib treated MDA-MB-231 cells. Values are shown as mean±SEM and statistical analysis was performed using Student's t-test.

[0141] FIG. 5: Example of protein kinase inhibitor effective in three different cell lines that over-express the kinase. (A) The PLK1 kinase expression is higher in tumor cells when compared to normal cells. (B) Effect of two kinase inhibitors, PLK1 inhibitor (volasertib) and raf-1 inhibitor.

[0142] FIG. 6: Pathways most affected by the protein kinase inhibitor in MDA-MB-231 cells as explored by RNAseq analysis.

[0143] FIG. 7: Correlation between the mRNA levels of PLK1, an example of kinases, and expression of AU-rich mRNAs that are also can be reduced by a PLK1 kinase inhibitor.

[0144] FIG. 8: Kinome inhibitors screening on post-transcriptional gene regulation. [0145] (A) Kinase inhibitor screen scatter plot: TNF-α-ARE luciferase reporter activity absolute values are plotted on the y axis against 378 corresponding kinase inhibitors on the x axis. [0146] (B) Luciferase activity in MDA MB231 cell line treated with DMSO (control), AZ 628, Regorafenib, and Volasertib for 24 h. Columns, mean value of experiments done in triplicate; bars, standard error of the mean (SEM), normalized luciferase activity (fold) relates to ARE/non-ARE ratio.

[0147] FIG. 9: Expression of PLK-1 in normal cells and cancer cells. [0148] (A) PLK-1 mRNA expression in normal cells and breast cancer cell lines quantified by RT-PCR using FAM-labelled PLK-1 and a VIC-labelled GAPDH probe. [0149] (B) PLK-1 protein expression in normal cells and breast cancer cells using primary antibodies for PLK-1 and beta-actin (control). [0150] (C) PLK-1 expression (mRNA tumor/normal fold change) in different types of cancer. [0151] (D) PLK-1 expression in triple negative cancer (TNC) compared to other types of breast cancer. [0152] (E) The effect of PLK-1 overexpression on the 10-years relapse-free survival (RFS) and distant metastasis-free survival (DMFS) of cancer patients. Values are shown as mean±standard error of the mean (SEM), and comparison was performed using Student's t-test, wherein *P≥0.01, **P≥0.001.

[0153] FIG. 10: The effect of volasertib on MDA-MB-231 behavior. [0154] (A) MDA-MB 231 cells were treated with DMSO and volasertib for 24 h. Then, cell invasion was monitored continuously over 30 hours using RTCA Software. [0155] (B) The same protocol was repeated without applying Matrigel to measure cellular migration. [0156] (C) MDA-MB-231 proliferation was monitored for 70 hours after treatment with 300 nM volasertib.

[0157] FIG. 11: Effect of volasertib on the expression of various cancer-related genes having ARE-containing mRNAs. mRNA expression of IL-8, uPA, uPAR, SLC2A1, CXCR4, MMP13 is shown for control cells and volasertib treated MDA-MB-231 cells. Values are shown as mean±SEM and statistical analysis was performed using Student's t-test.

[0158] FIG. 12: Effect of volasertib on TTP expression and activity. MDA-MB 231 cells were treated with DMSO or volasertib for 24 h. [0159] (A) Effect of volasertib on TTP and (B) HuR mRNA expression; qPCR for TTP and HuR was performed: ****p<0.001. [0160] (C) mRNA decay curve for uPA in MDA-MB-231 cells using the one-phase exponential decay model. [0161] (D) The correlation between PLK-1 and TTP expression in cancer obtained from TCGA data, using the Oncomine portal. Values were expressed as mean±SEM and comparison was performed using Student's t-test.

[0162] FIG. 13: Knockdown PLK-1 using siRNA in MDA-MB-231. [0163] (A) Expression of PLK-1 mRNA (upper panel) and protein (lower panel) after siRNA treatment. [0164] (B) Expression of MMP1 in normal cells (MCF-10A, non-tumorigenic cell line) and cancer cells (MCF-7, hormone responsive breast cancer cell line; and MDA, triple-negative breast cancer cell line) as shown in the upper panel, and after gene silencing of PLK-1 using siRNA (lower panel). Values are shown as mean±SEM, and comparison was performed using Student's t-test.

[0165] FIG. 14: PLK-1 overexpression in MCF10A Cells. [0166] (A) Expression of PLK-1 protein after transfection with PLK-1-vector. [0167] (B) mRNA expression of uPA, MMP1 and CXCR4. Values are shown as mean±SEM, and comparison was performed using Student's t-test. +PLK-1 refers to PLK-1 overexpression; CXCR4 to chemokine receptor-4 (CXCR4); MMP1 to matrix metalloproteinase 1, and uPA to urokinase plasminogen activator.

[0168] FIG. 15: Effect of protein kinase inhibitors sorafenib2, regorafenib4, and volasertib on expression of TTP, HuR, and uPA in MDA-MB-231 cells.

[0169] FIG. 16: Effect of protein kinase inhibitors regorafenib4 and volasertib on expression of TTP, HuR, and uPA in MCF-7 cells.

[0170] FIG. 17: Effect of protein kinase inhibitors sorafenib2, regorafenib4, and volasertib on expression of TTP, HuR, and uPA in SKBR3 cells.

[0171] FIG. 18: Volasertib reduces PD-1L expression.

[0172] FIG. 19: Effect of volasertib and IFNγ on expression of PLK-1, TTP, HuR, uPA, and MMP13.

[0173] FIG. 20: Post-transcriptional control as a universal platform for kinase inhibitor drug screening. [0174] (A) Schematic representation of the highly sensitive and selective reporter vector system for the study of post-transcriptional gene expression. The system employs a constitutively active modified ribosomal protein promoter 30 (RPS30M1) and a reporter coding region, wherein said reporter coding region is preferably present in a modified form that has been modified by reducing UU/UA coding dinucleotides. The system allows for sensitive and selective assessment of 3′ untranslated region (3′UTR)-mediated activity. The 3UTR contains AU-rich elements. [0175] (B) Schematic representation of an assay approach of the present invention using the reporter vector system with high-throughput capability which can be used to screen small molecule compounds, particularly kinase inhibitors for identifying drugs that target chronic inflammatory diseases and cancer, such as triple-negative breast cancer. MDA-MB-231 is a cellular model of triple-negative breast cancer. dUW represents a reduction of UU and UA dinucleotides in the coding regions.

EXAMPLES

Example 1: Kinome Inhibitors Screening on Post-Transcriptional Gene Regulation

[0176] Cell Lines

[0177] Breast cancer cell lines MDA-MB-231, SKBR3, and MCF-7, and the normal-like breast cell line MCF10A were obtained from American Type Culture Collection (ATCC, Rockville, Md., USA). MDA-MB-231 and MCF-7 cell lines were cultured in Dulbecco's modified Eagle's medium (DMEM; Invitrogen, Carlsbad, Calif., USA) at 37° C. supplemented with 2 mM glutamine and 10% fetal bovine serum (FBS). SKBR3 cells were grown in McCoy's 5a Medium (McCoy's 5A; Thermo Fisher Scientific, Waltham, Mass., USA) with 10% FBS. MCF10A were maintained in Ham's F12-DMEM mixture (DMEM/F12 Ham; Thermo Fisher Scientific, Waltham, Mass., USA) and supplemented with 20 ng/ml epidermal growth factor (EGF), 0.01 mg/ml bovine insulin and 500 ng/ml hydrocortisone (Sigma, St. Louis, Mo., USA). All culture media were supplemented with 1% penicillin-streptomycin antibiotics (Sigma, St. Louis, Mo., USA). All transfections were performed in reduced serum media using Lipofectamine 2000 (Invitrogen).

[0178] Reporter Plasmids

[0179] Reporters were designed to be driven by the ribosomal protein subunit 30 (RPS30) promoter. The promoter was amplified using PCR with primers specific to the flanking region of the RPS30 promoter sequence. The gene structure of RPS30 was obtained from the Ribosomal Protein Database (http://ribosome.med.miyazaki-u.ac.jp). The forward and reverse primers included the restriction sites, EcoR V and SalI sites. Amplified DNA fragments were then resolved in 1.2%-1.5% agarose gel and the amplicon bands were excised, purified and cloned into the promoterless plasmid. TNF-α 3′-UTR and TNF-α ARE were used to study the role of AU-rich elements in the action of PKs inhibitors. The AU-rich sequence that comprised 250 bases from TNF-α 3′UTR (1200-1450 bp, NM_00059) was amplified by PCR using the forward primer 5′-CAGCAGGATCCAGAATGCTGCAGGACTTGAG-3′ (SEQ ID NO:1) and the reverse primer 5′-CGACCTCTAGACTATTGTTCAGCTCCGTTT-3′ (SEQ ID NO:2). The TNF-α-ARE sequence was made by annealing two synthetic complementary oligonucleotides of 70 bases that correspond to TNF-α ARE. The control reporter was constructed to have the basic structure of post-transcriptional reporter except 3′UTR which lack the AU-rich element sequence like this of bovine growth hormone. Any ARE reiterations or variations can be used, with minimal sequence is AUUUA, preferably, WW(AUUUA)WW, where W=A or U. They can be also repeated as an overall, e.g., AUUUAUUA, anywhere from 0 to 10 repeats as example.

[0180] Protein Kinase Inhibitors Library

[0181] Selleckchem Kinase Inhibitor Library that includes a selection of 378 pharmacologically active inhibitors of a number of protein kinases was purchased from Selleckchem. (Houston, Tex., USA). This library is a collection of 378 kinase inhibitors some of which have been approved by the FDA. Each compound is provided as a pre-dissolved 10 mM dimethyl sulfoxide (DMSO) solution as a 96 well format tube (100 μL). The compounds were diluted by OPTI-MEM (Thermo Fisher Scientific, Waltham, Mass., USA) to a final concentration of 5 μM.

[0182] Reporter Assay

[0183] Post-transcriptional and control reporter constructs were transfected to MDA-MB-231 cells separately that were seeded in 96-well microplates at a density of 4×10.sup.4 cells/well and incubated overnight. Using lipofectamine 2000 protocol (Invitrogen, Carlsbad, Calif., USA), the cells were transfected with 10 ng of either RPS30-luciferase-control 3′UTR or RPS30-luciferase-ARE 3′UTR reporter plasmids. After 24 h, the cells were treated with each member of protein kinase inhibitors kit for 24 h. Then, luciferase reaction was performed as prescribed by manufacture's protocol (Nano-Glo Luciferase, Promega, Madison, Wis., USA)/well. After 15 minutes, the reporters' activities were measured through the measurement of the chemiluminescence (FIG. 8) after treatment using a Zenith 3100 (Anthos Labtec, Eugendorf, Austria).

[0184] Statistical Analysis

[0185] Data are presented as means±standard error of the mean (SEM). Two-sample Student's t-test was used to determine the differences between two data sets. One-way analysis of variance (ANOVA) was used to compare three or more data columns. Two-way analysis of variance was used to analyze two groups of data, each having two data columns. Analysis was performed using GraphPad Prism version 6.00 for Windows, (GraphPad Software, La Jolla Calif., USA). For high throughput screening (HTS) hit selection (protein kinase inhibitors), strictly standardized mean difference (SSMD) test was used. This statistical test measures the size of effect of each member in a group relative to the other members. It is the mean of each member divided by the standard deviation of the difference between two random values from different groups. Based on the value of SSMD, the effect of each member of the library was classified as strong (β≥5), moderate (1≤β<5), and weak (β<1). In this study, only drug with SSMD score more than or equal to 5 or less than or equal to −5, i.e. strong β, where selected in the primary screening.

[0186] PLK-1 Regulates ARE-Mediated Post-Transcriptional Pathways in Breast Cancer

[0187] MDA-MB-231 cells are a model for highly invasive breast carcinomas and characterized by aberration in several protein kinase pathways including ERK, PI3K, MAP kinases, Ras, and many receptor and nonreceptor tyrosine kinases. To perform a functional kinome screen, the PK inhibitors were examined for their effect on the expression of ARE and non-ARE containing reporter using optimized and highly selective post-transcriptional reporter system as set forth above. The screening was performed in three stages to detect the protein kinase inhibitors that potentially affect the phosphorylation of an ARE-BP, as shown by lowering of the expression of ARE-containing reporter activity. In the primary screening, 87 out of 378 drugs in the PK library were found to reduce the expression of ARE-containing reporter without comparing their effect to a control reporter. Only three of the protein kinase inhibitors were confirmed to be involved in ARE-dependent mRNA regulation in the later stages of screening when they were compared to a non-ARE reporter. These potent protein kinase inhibitors were AZ628, Regorafenib, and Volasertib, and their substrates are Raf, VEGFR2 and PLK-1 respectively (FIG. 8B).

[0188] First, a “primary screening” was performed in which MDA-MB-231 cells were transfected with the post-transcriptional luciferase reporter with 3′UTR-containing ARE and then treated with 5 μM/well of each member in the PK inhibitor library or DMSO as a vehicle control for 16 hr (FIG. 1A). Finally, the drugs that specifically reduced the expression of the ARE reporter in comparison to the non-ARE reporter were selected in a second stage which aimed at narrowing the primary screen results to eliminate non-specific effects on non-ARE reporter activity, and these were subjected to further investigation. In this stage, the cells were transfected with both the ARE and non-ARE control post-transcriptional reporters and treated with different doses of the protein kinase inhibitors (0.5, 2, and 5 μM concentrations). Several drug groups were discovered that reduce ARE-post-transcriptional reporter activity. FIG. 2 shows a list of 15 protein kinase inhibitors that have activity against the specific cancer type/sub-type. FIG. 2), including for examples, namely rapidly accelerated fibrosarcoma kinases (B-Raf), VEGF receptors type 2 (VEGFR2), and polo-like kinase 1 (PLK-1), comprising AZ 628 (pan-Raf inhibitor), Regorafenib (BAY 73-4506), inhibiting Raf-1 and VEGFR1-3, and Volasertib (BI 6727, PLK-1 inhibitor).

Example 2: Expression of PLK-1 in Normal Cells and Cancer Cells

[0189] Methods were performed as described in the foregoing example.

[0190] Plasmids and RNA Interference

[0191] Vector used for PLK-1 overexpression was obtained from Genecopoeia (Rockville, Md., United States) and had been designed to have human influenza hemagglutinin (HA) tag. RNA interference studies were performed using chemically synthesized siRNA duplexes purchased from Santa Cruz (Santa Cruz Biotech, CA) for silencing of PLK-1 and a control siRNA. Western blotting and RT-PCR were utilized to determine the efficiency of siRNA silencing after 48 hr. Lipofectamine LTX was used for siRNAs transfection following the manufacturer protocol (Invitrogen, Carlsbad, Calif., USA). The final concentration of siRNAs used for transfection was 50 nM.

[0192] PLK-1 is Overexpressed in Cancer Cells

[0193] The expression of PLK-1 in normal MCF-10A and two breast cancer cell lines, MDA-MB-231 and MCF-7, was measured using RT-PCR. As shown in FIG. 9, breast cancer cells exhibited moderate to high expression of PLK-1 compared to normal cell line. The MDA-MB-231 cells significantly express higher levels of PLK-1 mRNA than normal breast epithelial cells. Concurrently, the triple negative breast cancer subtype is characterized by higher expression of PLK-1 compared to the other types of breast cancer according to data obtained from TCGA data (FIG. 9D), using the Oncomine portal. Patients' data also revealed that PLK-1 is overexpressed in a wide range of human cancers including breast, liver, lung, prostate, kidney, gastric and bladder carcinomas (FIG. 9C). High expression of PLK-1 was found to be associated with reduced survival among cancer patients. (FIG. 9E).

Example 3: Protein Kinase Inhibitors Reduces Cancer and Inflammatory Cytokine mRNA Expression

[0194] Methods were performed as described in the foregoing examples.

[0195] Examples of the effect of several protein kinase inhibitors that were the outcome of the screen assay on one cancer gene, uPA, and a pro-inflammatory cytokine, IL-8 is given in FIG. 3. All seven-member protein kinase inhibitor group significantly reduced uPA mRNA abundance in MDA-MB-231 cell line (FIG. 1D). The majority of this group reduces the mRNA abundance of IL-8 (except sorafenib), The MDA-MB-231 cells were treated with 330 nM of each of the inhibitor or DMSO as control for 24 hr, then quantitative RT-qPCR was performed in using FAM-labelled TaqMan probe of the above genes and normalized to GADPH (FIG. 3).

[0196] Furthermore, as an example, the effect of the PLK1 inhibitor volasertib was studied on the expression of known genes that have been shown to be upregulated in cancer and bearing ARE sequence in their mRNA. These include IL-8, solute carrier family 2 member 1 (SLC2A1), uPA, uPAR, CXCR4, MMP13, PDL1, and HuR. The MDA-MB-231 cells were treated with 330 nM volasertib or DMSO for 24 hr, then quantitative RT-qPCR was performed in using FAM-labelled TaqMan probe of the above genes and normalized to GADPH (FIG. 11). As can be observed from FIG. 11, the expression of all ARE-containing cancer genes was significantly reduced using volasertib.

[0197] mRNA Half-Life and Quantitative Reverse Transcription Polymerase Chain Reaction

[0198] Cells were cultured in six-well plates and either treated with DMSO or drugs for 24 h. Total RNA was then extracted using Trizol reagent (TRI Reagent, Sigma-Aldrich, St Louis, Mo.). The cells were lysed directly on the culture dish by adding 1 ml of the TRI Reagent per 10 cm.sup.2 surface area. Reverse transcription for preparation of cDNA was performed using 3 μg of total RNA, 150 ng random primers, 0.1 M dithiothreitol (DTT), 10 mM deoxynucleotide triphosphate (dNTP) and 200 U of SuperScript II (Invitrogen, Foster City, Calif.). The quantitative RT-QPCR was performed in multiplex in the Chroma 4 DNA Engine cycler (BioRad, Hercules, Calif., USA) using FAM-labelled TaqMan probes (Applied Biosystems, Foster City, Calif., USA) for TTP (ZFP36), HuR (ELAVL1), uPA (PLAU)-CXCR4, MMP-1, MMP-13, IL-8, PLK-1 while a VIC-labelled glyceraldehyde-3-phosphate dehydrogenase (GAPDH) probe was used as the endogenous control. Samples were amplified in triplicate and quantification of relative expression was performed using the estimation of quantitation cycle (Cq) method.

[0199] For half-life experiments, 5 μg/ml of Actinomycin D (ActD; Sigma-Aldrich, St Louis, Mo.) was added to the cells for 1, 2, 4 and 6 h prior to extraction of total RNA using Trizol. The reverse transcription reaction and quantitative PCR were performed as described above. The half-life of mRNAs was estimated using the one-phase exponential decay method using GraphPad Prism software (GraphPad Software, San Diego, Calif.).

[0200] Western Blotting

[0201] The cells were lysed in a mixture of 2×Laemmli buffer (BioRad, Hercules, Calif., USA) and DTT (1:1). The cell lysates were loaded and subjected to electrophoresis on 4-12% NuPAGE Bis-Tris gel (Invitrogen, Foster City, Calif., USA). Rainbow protein molecular weight marker was used as a ladder to detect the size of the proteins. Then, the proteins were transferred from the gel to nitrocellulose membranes (Hybond ECL; Amersham Biosciences, Piscataway, N.J.) in the presence of NuGAGE 20×transfer buffer (Invitrogen, Foster City, Calif., USA). After blocking, membranes were incubated with primary antibodies diluted in 5% bovine serum albumin (BSA) (Sigma-Aldrich, St Louis, Mo.) 4° C. overnight. Antibodies used include rabbit anti-PLK-1, rabbit anti-caspase 3, rabbit anti-Bc12, rabbit anti-actin (dilution 1:1000, Cell signaling, Massachusetts, USA). Then after, the membranes were incubated with enzyme (e.g. horseradish peroxidase, HRP) conjugated with goat anti-rabbit or anti-mouse secondary antibodies (diluted in 5% BSA, 1:2000 dilution) (Santa Cruz Biotech, Santa Cruz, Calif.) for 1-3 hr. Protein bands were detected using ECL Western blotting detection reagents (Amersham Biosciences, Amersham, UK) in Molecular Imager ChemiDoc machine (BioRad, Hercules, Calif., USA).

Example 4: Invasion, Migration, and Proliferation of Cells

[0202] Methods were performed as described in the foregoing examples.

[0203] Invasion and Migration Assays

[0204] MDA-MB-231 cells were seeded in 6-well cell culture plates and incubated overnight. The cells were treated with the selected protein kinase inhibitors and incubated overnight. Then they were reseeded onto the invasion chamber in serum-free media at a density of 2×10.sup.4 cells per well using 16-well CIM-Plate in Real-Time Cell Analysis (RTCA) Dual Plate (DP) Analyzer (ACEA Bioscinece, California, USA) that was loaded inside the incubator. The lower chambers to which cells will migrate were prepared to contain chemoattractant consisted of 10% FBS. For invasion assays, Matrigel (BioCoat, BD Biosciences, MA) which resembles the complex extracellular environment found in many tissues was prepared and used to coat the upper chamber of CIM plates. Invasion and migration were monitored continuously over 72-hour period using RTCA Software (ACEA Bioscinece, California, USA). The RTCA Instrument automatically monitors the cells every 15 minutes for 100 repetitions. For proliferation assays, the same principle was applied using a single chamber containing complete DMEM media (FIG. 10).

[0205] Volasertib Inhibits Invasion, Migration and Proliferation of Breast Cancer Cells

[0206] Based on the dose-response curve, 330 nM was selected to be used as a standard dose for the experiments. In the invasion assay, MDA-MB-231 cells were treated with volasertib or DMSO for 24 hr, then invasion was monitored for 30 hr. As shown in (FIG. 10A), MDA-MB-231 cells showed a reduced invasive behavior after treatment with volasertib compared to the control DMSO and the effect started as early as 6 hr after treatment. Similarly, volasertib was shown to reduce breast cancer cells migration (FIG. 10B) for thirty hours after treatment. Proliferation of MDA-MB-231 was found to be significantly reduced after treatment with volasertib (300 nM) compared to DMSO (FIG. 10C).

[0207] PLK1 kinase, as an example of kinases involved in cancer, is over-expressed in breast cancer cell lines, including MCF7, MDA-MB-231 and SKBR3 when compared to the normal-like MCF10A (FIG. 5A). Many kinases are either over-expressed or constitutively active or hyperactive in cancer states when compared to normal cells. As example of inhibitors that are found in the precision cancer therapy screen, Volasertib and Regorafenib (VEGFR kinase inhibitor) led to reduction in the level of ARE-containing mRNA, uPA in most of the cancer cell lines. (FIG. 5B).

[0208] Global Effects of PLK1 Inhibition on Gene Expression.

[0209] mRNA was extracted from DMSO- or volasertib-treated MDA-MB-213. cDNA libraries were made for sequencing a measure of transcript copy numbers that correspond to the abundance of each gene (FIG. 6A). There was a total of 540 genes in which their expression is down-regulated by at least 1.7-fold reduction (p<0.001)-FIG. 6B. Among those is 170 ARE-coding genes as derived by crossing with AU-rich element database. (FIG. 6B). Functional enrichment analysis show that the most affected groups belong to cell cycles and cytokines (FIG. 6C). Examples of these cytokines that were down-regulated is IL-8, uPA, IL-6, IL-11, 11113, CSF2, and endothelin-1 and 2. Examples of cell cycle (cellular growth) regulators that are down-regulated: CCNE2, CDC6, E2F1, and MCM10.

Example 5: Correlation of PLK1 Expression and AU-Rich mRNA Expression

[0210] Methods were performed as described in the foregoing examples.

[0211] Patient Data and Analysis

[0212] The Cancer Genome Atlas (TCGA) was searched using the Oncomine web portal, www.oncomine.com. TCGA is collaboration between the National Cancer Institute (NCI) and National Human Genome Research Institute (NHGRI) that provides maps for the genomic changes in different types of cancer. According TCGA, they have declared the following: ‘All samples in TCGA have been collected and utilized following strict human subjects protection guidelines, informed consent’. As an example, the present inventor shows that TCGA dataset of invasive ductal breast cancer was used. The expression levels of PLK1 from nearly 300 patients' data were obtained and the expression of those genes that are conform to the following criteria were obtained: a) ARE-mRNA, (b) over-expressed in cancer by at least 1.7-fold (p<0.001), and (c) down-regulated by PLK1 inhibitor (data from FIG. 6). There were 40 genes as such and include the following: (INHBA, MCM10, CDC6, DTL, ZNF367, E2F1, E2F8, CDC25A, RAD54L, MCM6, CHML, MYBL1, PLAUR, OAS2, RTKN2, PRSS22, MTBP, WDR76, DNA2, LRRCC1, LSM11, PLAU, ELAVL1, EDN2, BMPR1B, IGSF8, MAPK13, SFXN2, BARD1, MEX3A, PLEKHA6, TMEM184A, JPH1, SLC16A6, PRRG4, POLD3, IL11, IL8, and CCNE2). The average of all the expression levels of these genes were plotted against PLK1 expression levels from each of the patient data (FIG. 7). There was a tight correlation co-efficient (r=0.8; p<0.0001, Spearman's correlation test).

[0213] Volasertib Increases TTP Expression and Reduces HuR

[0214] PLK-1 inhibition using volasertib in MDA-MB-231 cells resulted in 40% enhancement of TTP and 60% reduction of HuR mRNA expressions (FIG. 12A,B). To study the influence of PLK-1 inhibition on ARE-containing mRNA stability, the effect of volasertib treatment on the half-life of uPA was analyzed. Half-life of uPA mRNA was reduced from >6 hr to 0.5 hr in response to volasertib treatment compared to the DMSO control (FIG. 12C). The relationship between PLK-1 and TTP expression in normal and cancer patients was analyzed and as shown in FIG. 12D, patients having a TNBC tumor have high PLK-1 and low TTP levels. Compatible with the findings of the inventors, the higher the level of PLK-1, the lower the TTP expression.

[0215] PLK-1 Silencing Reduces the Expression of TTP Targets

[0216] To investigate whether the effects produced by volasertib are attributed to PLK-1 inhibition specifically, siRNA was used to knock-down PLK-1 in MDA-MB-231 cells. After transfection, the gene expression and protein level of PLK-1 were monitored to ensure the efficiency of PLK-1 siRNA (FIG. 13A). The influence of PLK-1 silencing on ARE-BPs action was verified by measuring one of three ARE-bearing targets, namely MMP-1. Expression of MMP-1 was found to be significantly high in MDA-MB-231 cell line and nearly undetectable in normal MCF-10A and cancerous MCF-7 cells (FIG. 13B, upper panel). Treatment with PLK-1 siRNA significantly lowered the level of MMP-1 mRNA compared to the control siRNA in MDA-MB-231 cells (FIG. 13B, lower panel).

[0217] PLK-1 Overexpression Inhibits the Action of TTP

[0218] For further characterization of the role of PLK-1 in ARE-mediated regulation of post-transcription, we overexpressed PLK-1 in normal MCF10A breast cells and measured the expression of some ARE-containing genes. Overexpression of PLK-1 in MCF10A cells was verified by western blotting (FIG. 14A). As shown in FIG. 14B, the overexpression of PLK-1 in MCF10A cell was associated with moderate increase in uPA mRNA expression. As expected, the expression of MMP1 and CXCR4 was very low in normal cells, yet PLK-1 overexpression increased their levels.

[0219] The present inventor discloses a method of treatment of cancer using ARE-mediated gene post-transcriptional regulation involving a protein kinase that is aberrant in cancer. Examples were given in terms of PLK1 protein as it was shown by Western blotting that it is over-expression (FIG. 12A). There are many protein kinases that are over-expressed in cancer when compared to normal cells. These can at mRNA level, protein abundance level, or activity level. PLK-1 inhibitors volasertib and BI 2536 reduced the TNF-ARE luciferase reporter activity by 40% and 35%, respectively. With regard to volasertib, the same reduction in percent reporter activity was observed in the secondary screening compared to the control reporter, wherein with regard to BI 2536, the reduction in percent reporter activity was reduced to 16% in the secondary screening. Other PLK inhibitors including rigosertib, HMN-214, GSK461364, Ro3280 and NMS-P937 did not reduce ARE-reporter activity. Rigosertib is a PLK-1 inhibitor but shows more than 30-fold selectivity against PLK-2 with no activity on PLK-3 whereas GSK461364 and NMS-P937 are PLK-1 inhibitors in phase 1 trial with more than 1000-fold activity against PLK2 and PLK-3.

[0220] The present inventors disclose that triple negative breast cancer cells express significantly higher levels of PLK-1 mRNA and protein compared to HER negative cancer and normal breast epithelial cells. The present inventors further disclose that the effect of PLK-1 inhibition is consistent among different types of breast cancer including triple-negative, HER negative, and ER-PR negative breast cancers, as shown through the actions induced by PLK-1 inhibitor volasertib on MDA-MB-231, MCF7, and SKBR3 cell lines, namely increasing the expression of TTP, decreasing the HuR level, and downregulating the TTP target uPA. The present inventors disclose that triple-negative breast cancer cell proliferation is significantly reduced by volasertib. The present inventor further discloses that invasion and migration of MDA-MB-231 were significantly reduced and cancer-related genes, such as CXCR4, MMP1, MMP13, uPA, and uPAR, were downregulated upon PLK-1 inhibition. Accordingly, the present inventor discloses that any protein kinase inhibitor which post-transcriptionally regulates expression of cancer-related genes is suitable for precision cancer therapy. Further disclosed is a method of treatment of cancer comprising administering said protein kinase inhibitor, to a patient in need thereof.

[0221] The present inventors further disclose that PLK-1 inhibition reduces the half-life of TTP target uPA, and that PLK-1 inhibitor volasertib reduces expression of ARE-containing mRNA targets, such as CXCR4, IL-8, MMP1, MMP13, uPA, uPAR, and SLC2A1 mRNA. In addition, the present invention discloses that volasertib increases the TTP level and reduces the HuR level. Correspondingly, PLK-1 overexpression resulted in increasing the expression of TTP targets, such as uPA, MMP1, and CXCR4.

[0222] The present invention discloses the effect of a wide range of protein kinases on ARE-mediated regulation of gene expression, in particular three kinase pathways are disclosed to be involved in ARE-dependent mRNA regulation, including Raf, VEGFR2 and PLK-1. PLK-1 is disclosed to regulate the expression of many ARE-containing mRNAs especially those involved in cancer by phosphorylation of ARE-BPs. PLK-1 inhibitor volasertib is disclosed to reduce the level and activity of an ARE-containing reporter and to reduce the half-life of ARE-containing uPA mRNA. PLK-1 inhibition is disclosed to normalize TTP deficiency and HuR overexpression in breast cancer, and inhibited invasive breast cancer cell proliferation, migration and invasion. The present invention discloses a method of treatment of cancer comprising PLK-1 inhibition, wherein PLK-1 inhibition normalizes the TTP/HuR ratio and inhibits cancer cell proliferation, migration and invasion. These events are involved in hallmarks of cancer including cell division and growth, angiogenesis, glycolysis, apoptosis resistance, invasion, and metastasis. In addition, the benefit of controlling inflammatory cytokine release as a result of the use of the specific kinase inhibitor since this “Precision oncology assay”, which is the method of identifying a protein kinase inhibitor for normalizing post-transcriptional regulation as precision cancer therapy, detects reduction in gene expression related to uncontrolled cell cycle, other cancer processes, and additionally inflammatory cytokine release culminating in wider benefit to the patients.

Example 6: Post-Transcriptional Control as a Universal Platform for Kinase Inhibitor Drug Screening

[0223] Methods were performed as described in the foregoing examples.

[0224] Abnormal post-transcriptional control of gene expression contributes to sustained and excessive production of pro-inflammatory and cancer-promoting cytokines, growth factors, and other mediators. The present inventors have developed and optimized a highly sensitive and selective reporter vector system for the study of post-transcriptional gene expression (FIG. 20). The present inventor used this optimized system to find small molecule drugs that target AU-rich element (ARE)-mediated pathways. AREs are key determinants of mRNA stability and translation, and aberrations in ARE-mediated pathways occur during carcinogenesis and inflammatory diseases. 1000+ FDA-approved drugs were screened for their effect on ARE-reporter expression in cancer cells. The present inventor found that merely glucocorticoids were capable of such activity indicating high selectivity. Furthermore, the present inventors tested a protein kinase inhibitor library comprising about 400 protein kinase inhibitors in a cellular model of triple-negative breast cancer using MDA-MB-231 cells. The present inventors were able to identify several groups of protein kinase inhibitors showing an effect in MDA-MB-231 cells. These results pave the way for targeting a cancer, such as triple negative breast cancer, with high precision.

Example 7: Exemplary Protein Kinase Inhibitors

[0225] The list in Table 1 below shows examples of protein kinase inhibitors which can be tested in a method of identifying a protein kinase inhibitor for normalizing post-transcriptional regulation as precision cancer therapy.

TABLE-US-00001 TABLE 1 EXAMPLES OF KINASE INHIBITORS AND THEIR TARGETS. Kinase inhibitor Target (−)-BAY-1251152 CDK (−)-Indolactam V PKC (+)-BAY-1251152 CDK (±)-Zanubrutinib Btk (1S,3R,5R)-PIM447 (dihydrochloride) Pim (3S,4S)-Tofacitinib JAK (E)-AG 99 EGFR (E)-Necrosulfonamide Mixed Lineage Kinase [6]-Gingerol AMPK; Apoptosis 1,2,3,4,5,6-Hexabromocyclohexane JAK 1,3-Dicaffeoylquinic acid Akt; PI3K 1-Azakenpaullone GSK-3 1-Naphthyl PP1 Src 1-NM-PP1 PKD 2,5-Dihydroxybenzoic acid Endogenous Metabolite; FGFR c-RET, SUMO, TAM Receptor, IL Receptor, PI3K, VEGFR, GSK- 2-D08 3 2-Deoxy-D-glucose Hexokinase 2-Methoxy-1,4-naphthoquinone PKC 2-Phospho-L-ascorbic acid trisodium salt c-Met/HGFR 3,4-Dimethoxycinnamic acid ROS 3BDO Autophagy; mTOR 3-Bromopyruvic acid Hexokinase 3-Methyladenine (3-MA) Autophagy, PI3K 4μ8C IRE1 5-Aminosalicylic Acid NF-κB; PAK; PPAR 5-Bromoindole GSK-3 5-Iodotubercidin Adenosine Kinase 6-(Dimethylamino)purine Serine/threonin kina 6-Bromo-2-hydroxy-3- IRE1 methoxybenzaldehyde 7,8-Dihydroxyflavone Trk Receptor 7-Hydroxy-4-chromone Src 7-Methoxyisoflavone AMPK 8-Bromo-cAMP sodium salt PKA A 419259 (trihydrochloride) Src A 77-01 TGF-β Receptor A 83-01 sodium salt TGF-β Receptor A-443654 Akt A-484954 CaMK A66 PI3K A-674563 Akt, CDK, PKA A-769662 AMPK ABBV-744 Epigenetic Reader Do Abemaciclib CDK Abrocitinib JAK ABT-702 dihydrochloride Adenosine Kinase AC480 (BMS-599626) EGFR, HER2 AC710 c-Kit; FLT3; PDGFR Acalabrutinib (ACP-196) BTK Acalisib PI3K acalisib (GS-9820) PI3K ACHP (Hydrochloride) IKK ACTB-1003 FGFR; VEGFR Acumapimod p38 MAPK AD80 c-RET, Src, S6 Kinase Adavosertib Wee1 AEE788 EGFR Afatinib Autophagy; EGFR Afatinib (BIBW2992) EGFR, HER2 Afatinib (dimaleate) Autophagy; EGFR Afuresertib Akt AG 555 EGFR AG-1024 IGF-1R AG126 ERK AG-1478 EGFR AG-18 EGFR AG-490 Autophagy; EGFR; STAT Agerafenib Raf AGL-2263 Insulin Receptor AICAR AMPK; Autophagy; Mitophagy AIM-100 Ack1 AKT inhibitor VIII Akt AKT Kinase Inhibitor Akt Akt1 and Akt2-IN-1 Akt Akti-1/2 Akt Alectinib ALK Alisertib (MLN8237) Aurora Kinase ALK inhibitor 1 ALK ALK inhibitor 2 ALK ALK-IN-1 ALK Allitinib tosylate EGFR Alofanib FGFR Alpelisib PI3K Altiratinib c-Met/HGFR; FLT3; Trk Receptor; VEGFR ALW-II-41-27 Ephrin Receptor AM-2394 Glucokinase Amcasertib (BBI503) Stemness kinase AMG 337 c-Met AMG 900 Aurora Kinase AMG 925 (HCl) CDK; FLT3 AMG-208 c-Met/HGFR AMG319 PI3K AMG-337 c-Met/HGFR AMG-3969 Glucokinase AMG-458 c-Met AMG-47a Src AMG-900 Aurora Kinase Amlexanox Immunology & Inflammation related Amuvatinib (MP-470) c-Kit, FLT3, PDGFR ANA-12 Trk Receptor Anacardic Acid Histone Acetyltransferase Anlotinib (AL3818) dihydrochloride VEGFR AP26113-analog (ALK-IN-1) ALK, EGFR Apatinib VEGFR, c-RET Apatinib?mesylate VEGFR Apigenin P450 (e.g. CYP17) Apitolisib mTOR; PI3K APS-2-79 MEK APY0201 Interleukin Related; PIKfyve APY29 IRE1 AR-A014418 GSK-3 ARN-3236 Salt-inducible Kinase (SIK) ARQ 531 Btk AS-252424 PI3K AS601245 JNK AS-604850 PI3K AS-605240 Autophagy; PI3K Asciminib Bcr-Abl Asciminib (ABL001) Bcr-Abl ASP3026 ALK ASP5878 FGFR AST 487 Bcr-Abl; c-Kit; FLT3; VEGFR AST-1306 EGFR Astragaloside IV ERK; JNK; MMP AT13148 Akt, S6 Kinase, ROCK, PKA AT7519 CDK AT7867 Akt, S6 Kinase AT9283 Aurora Kinase, Bcr-Abl, JAK Atuveciclib CDK Atuveciclib S-Enantiomer CDK Aurora A inhibitor I Aurora Kinase Autophinib Autophagy, PI3K AUZ 454 CDK AV-412 EGFR Avapritinib c-Kit Avitinib (maleate) EGFR AX-15836 ERK Axitinib c-Kit, PDGFR, VEGFR AZ 3146 Kinesin AZ 628 Raf AZ 960 JAK AZ1495 IRAK AZ191 DYRK AZ20 ATM/ATR AZ-23 Trk Receptor AZ304 Raf AZ31 ATM/ATR AZ3146 Mps1 AZ32 ATM/ATR AZ5104 EGFR AZ960 JAK Azaindole 1 ROCK AZD 6482 Autophagy; PI3K AZD0156 ATM/ATR AZD-0364 ERK AZD1080 GSK-3 AZD1152 Aurora Kinase AZD1208 Pim AZD1390 ATM/ATR AZD-1480 JAK AZD2858 GSK-3 AZD2932 PDGFR, VEGFR, FLT3, c-Kit AZD3229 c-Kit AZD3264 IκB/IKK AZD3463 ALK, IGF-1R AZD-3463 ALK; Autophagy; IGF-1R AZD3759 EGFR AZD4547 FGFR AZD4573 CDK AZD5363 Akt AZD5438 CDK AZD-5438 CDK AZD6482 PI3K AZD6738 ATM/ATR AZD7507 c-Fms AZD7545 PDHK AZD7762 Chk AZD-7762 Checkpoint Kinase (Chk) AZD8055 mTOR AZD-8055 Autophagy; mTOR AZD8186 PI3K AZD8330 MEK AZD8835 PI3K AZD-8835 PI3K AZM475271 Src Bafetinib (INNO-406) Bcr-Abl Bakuchiol Immunology & Inflammation related Barasertib-HQPA Aurora Kinase Bardoxolone Methyl IκB/IKK Baricitinib JAK BAW2881 (NVP-BAW2881) VEGFR, Raf, c-RET BAY 11-7082 E2 conjugating, IκB/IKK Bay 11-7085 IκB/IKK BAY 1217389 Kinesin, Serine/threonin kinase BAY 1895344 (BAY-1895344) ATM/ATR Bay 65-1942 (hydrochloride) IKK BAY1125976 Akt BAY1217389 Mps1 BAY-1895344 (hydrochloride) ATM/ATR BAY-61-3606 Syk BDP5290 ROCK BEBT-908 PI3K Belizatinib ALK; Trk Receptor Bemcentinib TAM Receptor Bentamapimod JNK Berbamine (dihydrochloride) Bcr-Abl Berberine (chloride hydrate) Autophagy; Bacterial; ROS; Topoisomerase Berzosertib ATM/ATR BF738735 PI4K BFH772 VEGFR BGG463 CDK BGT226 (NVP-BGT226) mTOR, PI3K BI 2536 PLK BI-4464 FAK; Ligand for Target Protein BI605906 IKK BI-78D3 JNK BI-847325 MEK, Aurora Kinase BIBF 1202 VEGFR BIBF0775 TGF-β Receptor BI-D1870 S6 Kinase Bikinin GSK-3 Bimiralisib mTOR; PI3K Binimetinib Autophagy; MEK Binimetinib (MEK162, ARRY-162, ARRY- MEK 438162) BIO GSK-3 BIO-acetoxime GSK-3 Biochanin A FAAH Bisindolylmaleimide I PKC Bisindolylmaleimide I (GF109203X) PKC Bisindolylmaleimide IX (Ro 31-8220 PKC Mesylate) BIX 02188 MEK BIX 02189 MEK BIX02188 ERK; MEK BIX02189 ERK; MEK BLU-554 (BLU554) FGFR BLU9931 FGFR BLZ945 CSF-1R BMS 777607 c-Met/HGFR; TAM Receptor BMS-265246 CDK BMS-345541 IκB/IKK BMS-5 LIM Kinase (LIMK) BMS-509744 Itk BMS-536924 IGF-1R BMS-582949 p38 MAPK BMS-690514 EGFR; VEGFR BMS-754807 c-Met, IGF-1R, Trk receptor BMS-777607 TAM Receptor, c-Met BMS-794833 c-Met, VEGFR BMS-911543 JAK BMS-935177 BTK, Trk receptor, c-RET BMS-986142 Btk BMS-986195 Btk BMX-IN-1 BMX Kinase; Btk BOS-172722 Mps1 Bosutinib (SKI-606) Src BPR1J-097 Hydrochloride FLT3 bpV (HOpic) PTEN BQR-695 PI4K B-Raf IN 1 Raf BRAF inhibitor Raf B-Raf inhibitor 1 Raf Brivanib Autophagy; VEGFR Brivanib (BMS-540215) FGFR, VEGFR Brivanib Alaninate (BMS-582664) FGFR, VEGFR BS-181 CDK BTK IN-1 Btk Btk inhibitor 1 Btk BTK inhibitor 1 (Compound 27) BTK Btk inhibitor 1 (R enantiomer) Btk Btk inhibitor 2 Btk Bucladesine (calcium salt) PKA Bucladesine (sodium salt) PKA Buparlisib PI3K Butein EGFR BX517 PDK-1 BX795 PDK-1 BX-795 IκB/IKK, PDK BX-912 PDK Ca2+ channel agonist 1 Calcium Channel; CDK CA-4948 TLR, IL Receptor Cabozantinib c-Kit; c-Met/HGFR; FLT3; TAM Receptor; VEGFR Cabozantinib (S-malate) VEGFR Cabozantinib (XL184, BMS-907351) c-Met, VEGFR Cabozantinib malate (XL184) TAM Receptor, VEGFR CAL-130 (Hydrochloride) PI3K CaMKII-IN-1 CaMK Canertinib (CI-1033) EGFR, HER2 Capivasertib Akt; Autophagy Capmatinib c-Met/HGFR Casein Kinase II Inhibitor IV Casein Kinase CAY10505 PI3K CC-115 DNA-PK, mTOR CC-223 mTOR CC-401 (hydrochloride) JNK CC-671 CDK CC-90003 ERK CCG215022 PKA CCT 137690 Aurora Kinase CCT020312 Eukaryotic Initiation Factor (eIF); PERK CCT128930 Akt CCT129202 Aurora Kinase CCT137690 Aurora Kinase CCT196969 Raf, Src CCT241533 (hydrochloride) Checkpoint Kinase (Chk) CCT241736 Aurora Kinase; FLT3 CCT245737 Chk CCT-251921 CDK CDK9-IN-1 CDK; HIV CDK9-IN-2 CDK CDKI-73 CDK CDK-IN-2 CDK Cediranib Autophagy; PDGFR; VEGFR Cediranib Maleate VEGFR Centrinone Polo-like Kinase (PLK) Centrinone-B Polo-like Kinase (PLK) CEP-28122 (mesylate salt) ALK CEP-32496 CSF-1R, Raf CEP-33779 JAK CEP-37440 ALK; FAK CEP-40783 c-Met/HGFR; TAM Receptor Ceralasertib ATM/ATR Cerdulatinib JAK; Syk Cerdulatinib (PRT062070, PRT2070) JAK Ceritinib ALK; IGF-1R; Insulin Receptor Ceritinib dihydrochloride ALK; IGF-1R; Insulin Receptor CFI-400945 PLK CFI-402257 hydrochloride Mps1 cFMS Receptor Inhibitor II c-Fms c-Fms-IN-2 c-Fms CG-806 Btk; FLT3 CGI1746 BTK CGI-1746 Autophagy; Btk CGK 733 ATM/ATR CGK733 ATM/ATR CGP 57380 MNK CGP60474 PKC; VEGFR CH5132799 PI3K CH5183284 FGFR CH5183284 (Debio-1347) FGFR CH7057288 Trk Receptor Chelerythrine Chloride Autophagy; PKC CHIR-124 Chk CHIR-98014 GSK-3 CHIR-99021 Autophagy; GSK-3 CHIR-99021 (CT99021) GSK-3 Chk2 Inhibitor II (BML-277) Chk Chloropyramine hydrochloride FAK; Histamine Receptor; VEGFR CHMFL-BMX-078 BMX Kinase CHR-6494 Haspin Kinase Chroman 1 ROCK Chrysophanic Acid EGFR, mTOR CHZ868 JAK CI-1040 MEK CID 2011756 Serine/threonin kina CID755673 Serine/threonin kinase, CaMK CK1-IN-1 Casein Kinase c-Kit-IN-1 c-Kit; c-Met/HGFR CL-387785 EGFR CL-387785 (EKI-785) EGFR CLK1-IN-1 CDK c-Met inhibitor 1 c-Met/HGFR CNX-2006 EGFR CNX-774 Btk Cobimetinib MEK Cobimetinib (GDC-0973, RG7420) MEK Cobimetinib (hemifumarate) MEK Cobimetinib (racemate) MEK Compound 401 DNA-PK Corynoxeine ERK1/2 CP21R7 GSK-3 CP21R7 (CP21) Wnt/beta-catenin CP-466722 ATM/ATR CP-673451 PDGFR CP-724714 EGFR, HER2 Crenolanib Autophagy; FLT3; PDGFR Crizotinib ALK; Autophagy; c-Met/HGFR CRT0066101 Serine/threonin kinase, CaMK CRT0066101 dihydrochloride PKD CT7001 hydrochloride CDK Cucurbitacin E Autophagy; CDK Cucurbitacin I JAK; STAT CUDC-101 EGFR, HDAC, HER2 CUDC-907 HDAC, PI3K CVT-313 CDK CX-6258 Pim Cyasterone EGFR CYC065 CDK CYC116 Aurora Kinase, VEGFR CZ415 mTOR CZC24832 PI3K CZC-25146 LRRK2 CZC-54252 LRRK2 CZC-8004 Bcr-Abl D 4476 Casein Kinase D4476 Autophagy; Casein Kinase Dabrafenib Raf Dabrafenib (GSK2118436) Raf Dabrafenib (Mesylate) Raf Dabrafenib Mesylate Raf Dacomitinib EGFR Dacomitinib (PF299804, PF299) EGFR Dactolisib (Tosylate) Autophagy; mTOR; PI3K Danthron AMPK Danusertib Aurora Kinase; Autophagy Danusertib (PHA-739358) Aurora Kinase, Bcr-Abl, c-RET, FGFR Daphnetin PKA, EGFR, PKC Dasatinib Bcr-Abl, c-Kit, Src Dasatinib Monohydrate Src, c-Kit, Bcr-Abl DB07268 JNK DCC-2618 c-Kit DCP-LA PKC DDR1-IN-1 Others Decernotinib (VX-509) JAK Defactinib FAK Degrasyn Autophagy; Bcr-Abl; Deubiquitinase Deguelin Akt, PI3K Dehydrocorydaline (chloride) p38 MAPK Dehydrocostus Lactone IκB/IKK DEL-22379 ERK Delcasertib PKC Delgocitinib JAK Derazantinib FGFR Derazantinib(ARQ-087) FGFR Dicoumarol PDHK Dihexa c-Met/HGFR Dihydromyricetin Autophagy; mTOR Dilmapimod p38 MAPK Dinaciclib CDK Dinaciclib (SCH727965) CDK DMAT Casein Kinase DMH1 TGF-beta/Smad DMH-1 Autophagy; TGF-β Receptor Doramapimod p38 MAPK; Raf Doramapimod (BIRB 796) p38 MAPK Dorsomorphin (Compound C) AMPK Dorsomorphin (dihydrochloride) AMPK; Autophagy; TGF-β Receptor Dovitinib c-Kit; FGFR; FLT3; PDGFR; VEGFR Dovitinib (lactate) FGFR Dovitinib (TKI-258) Dilactic Acid c-Kit, FGFR, FLT3, PDGFR, VEGFR Dovitinib (TKI258) Lactate FLT3, c-Kit, FGFR, PDGFR, VEGFR Dovitinib (TKI-258, CHIR-258) c-Kit, FGFR, FLT3, PDGFR, VEGFR DPH Bcr-Abl Dubermatinib TAM Receptor Duvelisib PI3K Duvelisib (R enantiomer) PI3K EAI045 EGFR eCF506 Src Edicotinib c-Fms eFT-508 (eFT508) MNK EG00229 VEGFR EGFR-IN-3 EGFR Ellagic acid Topoisomerase EMD638683 SGK EMD638683 (R-Form) SGK EMD638683 (S-Form) SGK Emodin Autophagy; Casein Kinase Empesertib Mps1 Encorafenib Raf ENMD-2076 Aurora Kinase, FLT3, VEGFR ENMD-2076 L-(+)-Tartaric acid Aurora Kinase, FLT3, VEGFR Entospletinib Syk Entospletinib (GS-9973) Syk Entrectinib ALK; Autophagy; ROS; Trk Receptor Entrectinib (RXDX-101) Trk receptor, ALK Enzastaurin Autophagy; PKC Enzastaurin (LY317615) PKC Erdafitinib FGFR Erdafitinib (JNJ-42756493) FGFR ERK5-IN-1 ERK Erlotinib EGFR ETC-1002 AMPK; ATP Citrate Lyase ETC-206 MNK ETP-46321 PI3K ETP-46464 ATM/ATR, mTOR Everolimus (RAD001) mTOR Evobrutinib Btk EX229 AMPK Falnidamol EGFR Fasudil (Hydrochloride) Autophagy; PKA; ROCK Fedratinib JAK Fenebrutinib Btk Ferulic acid FGFR Ferulic acid methyl ester p38 MAPK FGF401 FGFR FGFR4-IN-1 FGFR FIIN-2 FGFR FIIN-3 EGFR; FGFR Filgotinib JAK Filgotinib (GLPG0634) JAK Fimepinostat HDAC; PI3K Fingolimod LPL Receptor; PAK Fisogatinib FGFR Flavopiridol Autophagy; CDK FLLL32 JAK FLT3-IN-1 FLT3 FLT3-IN-2 FLT3 AMPK; Calcium Channel; Chloride Channel; COX; Flufenamic acid Potassium Channel Flumatinib Bcr-Abl; c-Kit; PDGFR Flumatinib (mesylate) Bcr-Abl; c-Kit; PDGFR FM381 JAK FM-381 JAK FMK Ribosomal S6 Kinase (RSK) FN-1501 CDK; FLT3 Foretinib c-Met/HGFR; VEGFR Foretinib (GSK1363089) c-Met, VEGFR Formononetin Others Fostamatinib (R788) Syk FR 180204 ERK FRAX1036 PAK FRAX486 PAK FRAX597 PAK Fruquintinib VEGFRs Futibatinib FGFR G-5555 PAK G-749 FLT3 Galunisertib TGF-β Receptor Gambogenic acid Others Gandotinib FGFR; FLT3; JAK; VEGFR Gandotinib (LY2784544) JAK GDC-0077 PI3K GDC-0084 PI3K, mTOR GDC-0326 PI3K GDC-0339 Pim GDC-0349 mTOR GDC-0575 (ARRY-575, RG7741) Chk GDC-0623 MEK GDC-0834 Btk GDC-0834 (Racemate) Btk GDC-0834 (S-enantiomer) Btk GDC-0879 Raf Gedatolisib (PF-05212384, PKI-587) mTOR, PI3K Gefitinib Autophagy; EGFR Gefitinib (ZD1839) EGFR Genistein EGFR, Topoisomerase Gilteritinib (ASP2215) FLT3, TAM Receptor Ginkgolide C AMPK; MMP; Sirtuin Ginsenoside Rb1 Autophagy; IRAK; Mitophagy; Na+/K+ ATPase; NF-κB Ginsenoside Re Amyloid-β; JNK; NF-κB Glesatinib (hydrochloride) c-Met/HGFR; TAM Receptor GLPG0634 analog JAK GNE-0877 LRRK2 GNE-317 PI3K GNE-477 mTOR; PI3K GNE-493 mTOR; PI3K GNE-7915 LRRK2 GNE-9605 LRRK2 GNF-2 Bcr-Abl GNF-5 Bcr-Abl GNF-5837 Trk Receptor GNF-7 Bcr-Abl Go 6983 PKC Go6976 FLT3, JAK, PKC Golvatinib (E7050) c-Met, VEGFR GSK 3 Inhibitor IX CDK; GSK-3 GSK 650394 SGK GSK1059615 mTOR, PI3K GSK1070916 Aurora Kinase GSK180736A ROCK GSK180736A (GSK180736) ROCK GSK1838705A ALK, IGF-1R GSK1904529A IGF-1R GSK2110183 (hydrochloride) Akt GSK2256098 FAK GSK2292767 PI3K GSK2334470 PDK GSK2578215A LRRK2 GSK2606414 PERK GSK2636771 PI3K GSK2656157 PERK GSK269962A ROCK GSK2850163 IRE1 GSK2982772 TNF-alpha, NF-κB GSK-3 inhibitor 1 GSK-3 GSK429286A ROCK GSK461364 PLK GSK481 TNF-alpha GSK′481 RIP kinase GSK′547 TNF-alpha GSK583 NF-κB GSK650394 Others GSK690693 Akt GSK-872 RIP kinase GSK′963 NF-κB, TNF-alpha Gusacitinib JAK; Syk GW 441756 Trk Receptor GW 5074 Raf GW2580 CSF-1R GW441756 Trk receptor GW5074 Raf GW788388 TGF-beta/Smad GW843682X Polo-like Kinase (PLK) GZD824 Bcr-Abl GZD824 Dimesylate Bcr-Abl H3B-6527 FGFR H-89 (dihydrochloride) Autophagy; PKA HA-100 Myosin; PKA; PKC Harmine 5-HT Receptor; DYRK; RAD51 Harmine hydrochloride DYRK HER2-Inhibitor-1 EGFR, HER2 Hesperadin Aurora Kinase HG-10-102-01 LRRK2 HG-14-10-04 ALK HG6-64-1 Raf HG-9-91-01 Salt-inducible Kinase (SIK) Hispidulin Pim HMN-214 PLK Honokiol Akt, MEK HS-10296 hydrochloride EGFR HS-1371 Serine/threonin kina HS-173 PI3K HTH-01-015 AMPK hVEGF-IN-1 VEGFR Hydroxyfasudil ROCK Ibrutinib Btk Ibrutinib (PCI-32765) BTK IC261 Casein Kinase IC-87114 PI3K Icotinib EGFR ID-8 DYRK Idelalisib Autophagy; PI3K Idelalisib (CAL-101, GS-1101) PI3K IITZ-01 Autophagy; PI3K IKK 16 IKK; LRRK2 IKK-IN-1 IKK Ilginatinib JAK IM-12 GSK-3 Imatinib Autophagy; Bcr-Abl; c-Kit; PDGFR Imatinib Mesylate (STI571) Bcr-Abl, c-Kit, PDGFR IMD 0354 IκB/IKK IMD-0354 IKK IMD-0560 IKK INCB053914 (phosphate) Pim Indirubin GSK-3 Indirubin-3′-monoxime 5-Lipoxygenase; GSK-3 Infigratinib FGFR Ingenol PKC INH14 IKK IPA-3 PAK Ipatasertib Akt IPI-3063 PI3K IPI549 PI3K IPI-549 PI3K IQ-1S (free acid) JNK IRAK inhibitor 1 IRAK IRAK inhibitor 2 IRAK IRAK inhibitor 4 (trans) IRAK IRAK inhibitor 6 IRAK IRAK-1-4 Inhibitor 1 IRAK IRAK4-IN-1 IRAK Irbinitinib (ARRY-380, ONT-380) HER2 ISCK03 c-Kit Isorhamnetin MEK; PI3K Isorhamnetin 3-O-neohesperoside Others Isovitexin JNK; NF-κB ISRIB (trans-isomer) PERK Itacitinib JAK ITD-1 TGF-β Receptor ITX5061 p38 MAPK JAK3-IN-1 JAK JANEX-1 JAK JH-II-127 LRRK2 JH-VIII-157-02 ALK JI-101 Ephrin Receptor; PDGFR; VEGFR JNJ-38877605 c-Met JNJ-38877618 c-Met/HGFR JNJ-47117096 hydrochloride FLT3; MELK JNJ-7706621 Aurora Kinase, CDK JNK Inhibitor IX JNK JNK-IN-7 JNK JNK-IN-8 JNK K02288 TGF-beta/Smad K03861 CDK K145 (hydrochloride) SPHK kb NB 142-70 PKD KD025 (SLx-2119) ROCK KDU691 PI4K Kenpaullone CDK Ki20227 c-Fms Ki8751 c-Kit, PDGFR, VEGFR kira6 Others KN-62 CaMK KN-92 (hydrochloride) CaMK KN-93 CaMK KN-93 Phosphate CaMK KPT-9274 NAMPT, PAK KRN 633 VEGFR KU-0063794 mTOR KU-55933 ATM/ATR; Autophagy KU-57788 CRISPR/Cas9; DNA-PK KU-60019 ATM/ATR KW-2449 Aurora Kinase, Bcr-Abl, FLT3 KX1-004 Src KX2-391 Src L-779450 Autophagy; Raf Lapatinib EGFR, HER2 Larotrectinib (LOXO-101) sulfate Trk receptor Larotrectinib sulfate Trk Receptor Lazertinib EGFR Lazertinib (YH25448, GNS-1480) EGFR Lck Inhibitor Src Lck inhibitor 2 Src LDC000067 CDK LDC1267 TAM Receptor LDC4297 CDK LDN-193189 2HCl TGF-beta/Smad LDN-212854 TGF-β Receptor LDN-214117 TGF-beta/Smad Leflunomide Dehydrogenase Leniolisib PI3K Lenvatinib VEGFR Lerociclib dihydrochloride CDK LFM-A13 BTK Lifirafenib EGFR; Raf Linifanib Autophagy; FLT3; PDGFR; VEGFR Linsitinib IGF-1R; Insulin Receptor LJH685 S6 Kinase LJI308 S6 Kinase L-Leucine mTOR LM22A-4 Trk Receptor LM22B-10 Akt; ERK; Trk Receptor Longdaysin Casein Kinase; ERK Lonidamine Hexokinase Lorlatinib ALK Lorlatinib?( PF-6463922) ALK Losmapimod Autophagy; p38 MAPK Losmapimod (GW856553X) p38 MAPK Loureirin B ERK; JNK; PAI-1; Potassium Channel LRRK2 inhibitor 1 LRRK2 LRRK2-IN-1 LRRK2 LSKL, Inhibitor of Thrombospondin (TSP-1) TGF-β Receptor LTURM34 DNA-PK Lucitanib FGFR; VEGFR Lupeol Immunology & Inflammation related LX2343 Amyloid-β; Autophagy; Beta-secretase; PI3K LXH254 Raf LXS196 PKC LY2090314 GSK-3 LY2109761 TGF-beta/Smad LY2409881 IκB/IKK LY2584702 S6 Kinase LY2584702 Tosylate S6 Kinase LY2608204 Glucokinase LY2857785 CDK LY2874455 FGFR, VEGFR LY294002 Autophagy, PI3K LY3009120 Raf LY3023414 mTOR, PI3K, DNA-PK LY3177833 CDK LY3200882 TGF-β Receptor LY3214996 ERK LY3295668 Aurora Kinase LY364947 TGF-beta/Smad LY-364947 TGF-β Receptor LYN-1604 hydrochloride ULK Magnolin ERK1 Masitinib c-Kit; PDGFR MBQ-167 CDK; Ras MC180295 CDK MCB-613 Src MEK inhibitor MEK MELK-8a (hydrochloride) MELK Merestinib c-Met/HGFR Mesalamine IκB/IKK, Immunology & Inflammation related Metadoxine PKA Metformin (hydrochloride) AMPK; Autophagy; Mitophagy Methylthiouracil ERK; Interleukin Related; NF-κB; TNF Receptor MGCD-265 analog c-Met/HGFR; VEGFR MHP SPHK MHY1485 Autophagy; mTOR Midostaurin PKC Milciclib (PHA-848125) CDK Miltefosine Akt Miransertib Akt Mirin ATM/ATR Mirk-IN-1 DYRK Mitoxantrone PKC; Topoisomerase MK 2206 (dihydrochloride) Akt; Autophagy MK-2461 c-Met, FGFR, PDGFR MK2-IN-1 (hydrochloride) MAPKAPK2 (MK2) MK-3903 AMPK MK-5108 Aurora Kinase MK-8033 c-Met/HGFR MK8722 AMPK MK-8745 Aurora Kinase MK-8776 (SCH 900776) CDK, Chk MKC3946 IRE1 MKC8866 IRE1 MKC9989 IRE1 ML167 CDK ML347 TGF-beta/Smad, ALK ML-7 HCl Serine/threonin kinase MLi-2 LRRK2 MLN0905 PLK MLN120B IKK MLN2480 Raf MLN8054 Aurora Kinase MNS Src; Syk MNS (3,4-Methylenedioxy-β-nitrostyrene, MDBN) Tyrosinase, p97, Syk, Src Momelotinib Autophagy; JAK Motesanib c-Kit; VEGFR MP7 PDK-1 MP-A08 SPHK MPI-0479605 Kinesin Mps1-IN-1 Mps1 Mps4-IN-2 Mps1; Polo-like Kinase (PLK) MRT67307 HCl IκB/IKK MRT68921 (hydrochloride) ULK MRX-2843 FLT3 MSC2530818 CDK MSDC0160 Insulin Receptor mTOR inhibitor-3 mTOR MTX-211 EGFR; PI3K Mubritinib EGFR Mutated EGFR-IN-1 EGFR Myricetin MEK NAMI-A FAK Naquotinib(ASP8273) EGFR Narciclasine ROCK Nazartinib EGFR Nazartinib (EGF816, NVS-816) EGFR NCB-0846 Wnt/beta-catenin Nec-1s (7-Cl—O-Nec1) TNF-alpha Necrostatin-1 Autophagy; RIP kinase Necrosulfonamide Others Nedisertib DNA-PK Neflamapimod p38 MAPK Nemiralisib PI3K Neohesperidin dihydrochalcone ROS Neratinib (HKI-272) EGFR, HER2 NG 52 CDK NH125 CaMK Nilotinib Autophagy; Bcr-Abl Nilotinib (AMN-107) Bcr-Abl Ningetinib c-Met/HGFR; TAM Receptor; VEGFR Nintedanib FGFR; PDGFR; VEGFR NMS-P937 (NMS1286937) PLK Nocodazole Autophagy, Microtubule Associated Norcantharidin EGFR, c-Met Notoginsenoside R1 Others NPS-1034 c-Met, TAM Receptor NQDI-1 ASK EGFR; Epigenetic Reader Domain; Histone NSC 228155 Acetyltransferase NSC 42834 JAK NSC12 FGFR NSC781406 mTOR; PI3K NT157 IGF-1R NU 7026 DNA-PK NU2058 CDK NU6027 CDK NU6300 CDK NU7026 DNA-PK NU7441 (KU-57788) DNA-PK, PI3K NVP-2 CDK NVP-ACC789 PDGFR; VEGFR NVP-ADW742 IGF-1R NVP-BAW2881 VEGFR NVP-BHG712 Bcr-Abl, Ephrin receptor, Raf, Src NVP-BHG712 isomer Ephrin Receptor NVP-BSK805 2HCl JAK NVP-BVU972 c-Met NVP-LCQ195 CDK NVP-TAE 226 FAK; Pyk2 NVP-TAE 684 ALK NVS-PAK1-1 PAK Oclacitinib (maleate) JAK Oglufanide VEGFR Olmutinib EGFR Omipalisib mTOR; PI3K Omtriptolide ERK ON123300 CDK ONO-4059 (GS-4059) hydrochloride BTK Orantinib (TSU-68, SU6668) PDGFR Oridonin Akt OSI-027 mTOR OSI-420 EGFR OSI-930 c-Kit, CSF-1R, VEGFR Osimertinib EGFR OSU-03012 (AR-12) PDK OTS514 hydrochloride TOPK OTS964 TOPK OTSSP167 (hydrochloride) MELK P276-00 CDK p38α inhibitor 1 p38 MAPK p38-α MAPK-IN-1 p38 MAPK Pacritinib FLT3; JAK Palbociclib (hydrochloride) CDK Palbociclib (isethionate) CDK Palomid 529 mTOR Palomid 529 (P529) mTOR Pamapimod p38 MAPK Parsaclisib PI3K Pazopanib c-Kit, PDGFR, VEGFR PCI 29732 Btk PCI-33380 Btk PD 169316 Autophagy; p38 MAPK PD0166285 Wee1 PD0325901 MEK PD153035 EGFR PD158780 EGFR PD-166866 FGFR PD168393 EGFR PD173074 FGFR, VEGFR PD173955 Bcr-Abl PD184352 (CI-1040) MEK PD318088 MEK PD98059 MEK Peficitinib JAK Pelitinib EGFR; Src Pelitinib (EKB-569) EGFR Pemigatinib FGFR Perifosine (KRX-0401) Akt Pexidartinib c-Fms; c-Kit Pexmetinib (ARRY-614) p38 MAPK, Tie-2 PF-00562271 Besylate FAK PF-03814735 Aurora Kinase; VEGFR PF-04217903 c-Met PF-04217903 (methanesulfonate) c-Met/HGFR PF-04691502 Akt, mTOR, PI3K PF-04965842 JAK PF-05231023 FGFR PF-06273340 Trk receptor PF-06409577 AMPK PF-06447475 LRRK2 PF-06459988 EGFR PF06650833 IRAK PF-06651600 JAK PF-06700841 (P-Tosylate) JAK PF-3758309 PAK PF-431396 FAK PF-4708671 S6 Kinase PF-477736 Chk PF-4800567 Casein Kinase PF-4989216 PI3K PF-543 (Citrate) SPHK PF-562271 FAK PF-573228 FAK PFK15 Autophagy PFK158 Autophagy PH-797804 p38 MAPK PHA-665752 c-Met PHA-680632 Aurora Kinase PHA-767491 CDK PHA-793887 CDK Phenformin (hydrochloride) AMPK Phorbol 12-myristate 13-acetate PKC; SPHK PHT-427 Akt, PDK Pl-103 Autophagy, DNA-PK, mTOR, PI3K Pl-103 (Hydrochloride) DNA-PK; mTOR; PI3K Pl-3065 PI3K PI3K-IN-1 PI3K PI3Kδ-IN-2 PI3K PI4KIII beta inhibitor 3 PI4K Piceatannol Syk Picfeltarraenin IA AChE Picropodophyllin IGF-1R Pictilisib (GDC-0941) PI3K PIK-293 PI3K PIK-294 PI3K PIK-75 DNA-PK; PI3K PIK-75 HCl DNA-PK, PI3K PIK-93 PI3K PIK-III Autophagy, PI3K Pilaralisib PI3K Pilaralisib analogue PI3K Pim1/AKK1-IN-1 Pim PIM-447 (dihydrochloride) Pim Pimasertib MEK Pitavastatin Calcium HMG-CoA Reductase PKC-IN-1 PKC PKC-theta inhibitor PKC PKM2 inhibitor(compound 3k) PKM Pluripotin ERK; Ribosomal S6 Kinase (RSK) PLX-4720 Raf PLX647 c-Fms; c-Kit PLX7904 Raf PLX8394 Raf PND-1186 FAK PND-1186 (VS-4718) FAK Poloxime Polo-like Kinase (PLK) Poloxin Polo-like Kinase (PLK) Ponatinib (AP24534) Bcr-Abl, FGFR, PDGFR, VEGFR Poziotinib (HM781-36B) HER2, EGFR PP1 Src PP121 DNA-PK, mTOR, PDGFR, Src, VEGFR, Bcr-Abl PP2 Src PQ 401 IGF-1R PQR620 mTOR Prexasertib Checkpoint Kinase (Chk) PRN1008 Btk PRN1371 FGFR PRN694 Itk PROTAC CDK9 Degrader-1 CDK; PROTAC Protein kinase inhibitors 1 hydrochloride DYRK PRT-060318 Syk PRT062607 (Hydrochloride) Syk PS-1145 IkB/IKK Psoralidin Estrogen/progestogen Receptor Purvalanol A CDK Purvalanol B CDK PYR-41 E1 Activating Pyridone 6 JAK Pyrotinib dimaleate EGFR Quercetin Src, Sirtuin, PKC, PI3K Quizartinib (AC220) FLT3 R112 Syk R1487 (Hydrochloride) p38 MAPK R1530 VEGFR R-268712 TGF-β Receptor R406 FLT3, Syk R406 (free base) Syk R547 CDK R788 (Fostamatinib) Disodium Syk Rabusertib (LY2603618) Chk Radotinib Bcr-Abl RAF265 Autophagy; Raf; VEGFR RAF265 (CHIR-265) Raf, VEGFR RAF709 Raf Ralimetinib (LY2228820) p38 MAPK Rapamycin (Sirolimus) Autophagy, mTOR Ravoxertinib ERK Rebastinib Bcr-Abl; FLT3; Src Refametinib MEK Refametinib (RDEA119, Bay 86-9766) MEK Regorafenib Autophagy; PDGFR; Raf; VEGFR Repotrectinib ALK; ROS; Trk Receptor RepSox TGF-beta/Smad Resveratrol Autophagy; IKK; Mitophagy; Sirtuin Reversine Adenosine Receptor, Aurora Kinase RG13022 EGFR RG14620 EGFR RGB-286638 (free base) CDK; GSK-3; JAK; MEK Ribociclib CDK Ridaforolimus (Deforolimus, MK-8669) mTOR Rigosertib (ON-01910) PLK Rigosertib (sodium) Polo-like Kinase (PLK) Rimacalib CaMK RIP2 kinase inhibitor 1 RIP kinase RIP2 kinase inhibitor 2 RIP kinase RIPA-56 RIP kinase Ripasudil ROCK Ripretinib c-Kit; PDGFR RK-24466 Src RKI-1447 ROCK RN486 Btk Ro 28-1675 Glucokinase Ro 5126766 MEK; Raf Ro3280 PLK Ro-3306 CDK RO4987655 MEK RO9021 Syk Roblitinib FGFR Rociletinib EGFR Rociletinib (CO-1686, AVL-301) EGFR Rociletinib hydrobromide EGFR Rogaratinib FGFR Roscovitine (Seliciclib, CYC202) CDK Rosmarinic acid IκB/IKK Ruboxistaurin (LY333531 HCl) PKC Ruxolitinib Autophagy; JAK; Mitophagy Ruxolitinib (phosphate) Autophagy; JAK; Mitophagy Ruxolitinib (S enantiomer) Autophagy; JAK RXDX-106 (CEP-40783) TAM Receptor S49076 c-Met, FGFR, TAM Receptor SAFit2 Akt Salidroside mTOR Salubrinal PERK Sapanisertib Autophagy; mTOR Sapitinib EGFR SAR-020106 Chk SAR125844 c-Met SAR131675 VEGFR SAR-20347 JAK SAR-260301 PI3K SAR405 Autophagy; PI3K SAR407899 ROCK Saracatinib Autophagy; Src Saracatinib (AZD0530) Src Savolitinib c-Met/HGFR Savolitinib(AZD6094, HMPL-504) c-Met SB 202190 Autophagy; p38 MAPK SB 203580 Autophagy; Mitophagy; p38 MAPK SB 203580 (hydrochloride) Autophagy; Mitophagy; p38 MAPK SB 239063 p38 MAPK SB 242235 p38 MAPK SB 415286 GSK-3 SB 525334 TGF-β Receptor SB1317 CDK; FLT3; JAK SB202190 (FHPI) p38 MAPK SB203580 p38 MAPK SB216763 GSK-3 SB239063 p38 MAPK SB415286 GSK-3 SB431542 TGF-beta/Smad SB-431542 TGF-β Receptor SB505124 TGF-beta/Smad SB-505124 TGF-β Receptor SB525334 TGF-beta/Smad SB590885 Raf SB-590885 Raf SBE 13 HCl PLK SBI-0206965 Autophagy SC-514 IκB/IKK SC66 Akt SC79 Akt SCH-1473759 (hydrochloride) Aurora Kinase SCH772984 ERK SCH900776 Checkpoint Kinase (Chk) Schisandrin B (Sch B) ATM/ATR, P-gp Scopoletin Immunology & Inflammation related SCR-1481B1 c-Met/HGFR; VEGFR Scutellarein Autophagy; Src Scutellarin Akt; STAT SD 0006 p38 MAPK SD-208 TGF-beta/Smad SEL120-34A (monohydrochloride) CDK Seletalisib PI3K Seletalisib (UCB-5857) PI3K Seliciclib CDK Selitrectinib Trk Receptor Selonsertib (GS-4997) ASK Selumetinib MEK Selumetinib (AZD6244) MEK Semaxanib (SU5416) VEGFR Semaxinib VEGFR Senexin A CDK Sennoside B PDGFR Serabelisib PI3K Serabelisib (INK-1117, MLN-1117, TAK-117) PI3K SF1670 PTEN SF2523 PI3K, DNA-PK, Epigenetic Reader Domain, mTOR SGI-1776 Autophagy; Pim SGI-1776 free base Pim SGI-7079 VEGFR SGX-523 c-Met Silmitasertib Autophagy; Casein Kinase Simurosertib CDK Sitravatinib c-Kit; Discoidin Domain Receptor; FLT3; Trk Receptor; VEGFR Sitravatinib (MGCD516) Ephrin receptor, c-Kit, TAM Receptor, VEGFR, Trk receptor SJ000291942 TGF-β Receptor SK1-IN-1 SPHK Skatole Aryl Hydrocarbon Receptor; p38 MAPK Skepinone-L p38 MAPK SKF-86002 p38 MAPK SKI II S1P Receptor SKLB1002 VEGFR SKLB4771 FLT3 SL327 MEK SL-327 MEK SLV-2436 MNK SLx-2119 ROCK SM 16 TGF-β Receptor SMI-16a Pim SMI-4a Pim SNS-032 CDK SNS-032 (BMS-387032) CDK SNS-314 Aurora Kinase SNS-314 Mesylate Aurora Kinase Sodium dichloroacetate (DCA) Dehydrogenase Sodium Monofluorophosphate phosphatase Solanesol (Nonaisoprenol) FAK Solcitinib JAK Sorafenib Raf Sorafenib Tosylate PDGFR, Raf, VEGFR Sotrastaurin PKC SP600125 JNK Spebrutinib Btk SPHINX31 Serine/threonin kina SR-3029 Casein Kinase SR-3306 JNK SR-3677 Autophagy; ROCK Src Inhibitor 1 Src SRPIN340 SRPK S-Ruxolitinib (INCB018424) JAK SSR128129E FGFR Staurosporine PKA; PKC STF-083010 IRE1 STO-609 CaMK SU 5402 FGFR; PDGFR; VEGFR SU11274 c-Met SU14813 c-Kit; PDGFR; VEGFR SU14813 (maleate) c-Kit; PDGFR; VEGFR SU1498 VEGFR SU5402 FGFR, VEGFR SU5408 VEGFR SU6656 Src SU9516 CDK Sulfatinib FGFR; VEGFR SUN11602 FGFR Sunitinib PDGFR, c-Kit, VEGFR Sunitinib Malate c-Kit, PDGFR, VEGFR T56-LIMKi LIM Kinase (LIMK) TA-01 Casein Kinase; p38 MAPK TA-02 p38 MAPK TAE226 (NVP-TAE226) FAK TAE684 (NVP-TAE684) ALK TAK-285 EGFR, HER2 TAK-580 Raf TAK-593 PDGFR; VEGFR TAK-632 Raf TAK-659 Syk, FLT3 TAK-715 p38 MAPK TAK-733 MEK TAK-901 Aurora Kinase TAK-960 Polo-like Kinase (PLK) Takinib IL Receptor Talmapimod p38 MAPK Tandutinib FLT3 Tandutinib (MLN518) FLT3 Tanzisertib JNK Tanzisertib(CC-930) JNK tarloxotinib bromide EGFR TAS-115 mesylate c-Met/HGFR; VEGFR TAS-301 PKC TAS6417 EGFR Taselisib PI3K Tat-NR2B9c p38 MAPK Tat-NR2B9c (TFA) p38 MAPK Tauroursodeoxycholate (Sodium) Caspase; ERK Tauroursodeoxycholate dihydrate Caspase; ERK Taxifolin (Dihydroquercetin) VEGFR TBB Casein Kinase TBK1/IKKε-IN-2 IKK TC13172 Mixed Lineage Kinase TC-DAPK 6 DAPK TCS 359 FLT3 TCS JNK 5a JNK TCS PIM-1 1 Pim TCS-PIM-1-4a Pim TDZD-8 GSK-3 Telatinib c-Kit, PDGFR, VEGFR Temsirolimus (CCI-779, NSC 683864) mTOR Tenalisib PI3K Tenalisib (RP6530) PI3K Tepotinib Autophagy; c-Met/HGFR Tepotinib (EMD 1214063) c-Met TG 100572 (Hydrochloride) FGFR; PDGFR; Src; VEGFR TG003 CDK TG100-115 PI3K TG100713 PI3K TG101209 c-RET, FLT3, JAK TGX-221 PI3K Theliatinib (HMPL-309) EGFR Thiazovivin ROCK THZ1 CDK THZ1-R CDK THZ2 CDK THZ531 CDK TIC10 Akt TIC10 Analogue Akt Tideglusib GSK-3 Tie2 kinase inhibitor Tie-2 Tirabrutinib Btk Tirbanibulin (Mesylate) Microtubule/Tubulin; Src Tivantinib c-Met/HGFR Tivantinib (ARQ 197) c-Met Tivozanib VEGFR Tivozanib (AV-951) c-Kit, PDGFR, VEGFR Toceranib phosphate PDGFRβ Tofacitinib JAK Tofacitinib (CP-690550, Tasocitinib) JAK Tolimidone Src Tomivosertib MNK Torin 1 Autophagy, mTOR Torin 2 ATM/ATR, mTOR Torkinib Autophagy; Mitophagy; mTOR Tozasertib (VX-680, MK-0457) Aurora Kinase TP0427736 HCl ALK TP-0903 TAM Receptor TP-3654 Pim TPCA-1 IκB/IKK TPPB PKC TPX-0005 Src, ALK Trametinib MEK trans-Zeatin ERK; MEK Trapidil PDGFR Triciribine Akt TTP 22 Casein Kinase Tucatinib EGFR TWS119 GSK-3 TyK2-IN-2 JAK Tyk2-IN-4 JAK Tyrosine kinase inhibitor c-Met/HGFR Tyrosine kinase-IN-1 FGFR; PDGFR; VEGFR Tyrphostin 23 EGFR Tyrphostin 9 PDGFR, EGFR Tyrphostin A9 VEGFR Tyrphostin AG 1296 c-Kit, PDGFR Tyrphostin AG 528 EGFR Tyrphostin AG 879 HER2 U0126 Autophagy; MEK; Mitophagy U0126-EtOH MEK UCB9608 PI4K UK-371804 HCl Serine Protease Ulixertinib ERK ULK-101 ULK UM-164 Src, p38 MAPK Umbralisib PI3K Umbralisib R-enantiomer PI3K UNC2025 TAM Receptor, FLT3 UNC2881 TAM Receptor Upadacitinib JAK Uprosertib Akt URMC-099 LRRK2 Vactosertib TGF-β Receptor Vactosertib (Hydrochloride) TGF-β Receptor Valrubicin PKC Vandetanib Autophagy; VEGFR Varlitinib EGFR Vatalanib (PTK787) 2HCl VEGFR VE-821 ATM/ATR VE-822 ATM/ATR Vecabrutinib Btk; Itk Vemurafenib Autophagy; Raf VER-246608 PDHK Verbascoside Immunology & Inflammation related Vistusertib Autophagy; mTOR Volasertib (BI 6727) PLK VO-Ohpic trihydrate PTEN Voxtalisib mTOR; PI3K VPS34 inhibitor 1 (Compound 19, PIK-III analogue) PI3K Vps34-IN-1 PI3K Vps34-IN-2 PI3K Vps34-PIK-III Autophagy; PI3K VS-5584 mTOR; PI3K VS-5584 (SB2343) PI3K VTX-27 PKC VX-11e ERK VX-702 p38 MAPK VX-745 p38 MAPK WAY-600 mTOR Wedelolactone NF-κB WEHI-345 RIP kinase WH-4-023 Src WHI-P154 EGFR; JAK WHI-P180 EGFR; VEGFR WHI-P97 JAK WNK463 Serine/threonin kinase Wogonin CDK, Transferase Wortmannin ATM/ATR; DNA-PK; PI3K; Polo-like Kinase (PLK) WP1066 JAK; STAT WYE-125132 (WYE-132) mTOR WYE-132 mTOR WYE-354 mTOR WZ3146 EGFR WZ-3146 EGFR WZ4002 EGFR WZ4003 AMPK WZ8040 EGFR X-376 ALK; c-Met/HGFR XL019 JAK XL147 analogue PI3K XL228 Aurora Kinase; Bcr-Abl; IGF-1R; Src XL388 mTOR XL413 (BMS-863233) CDK XMD16-5 ACK XMD17-109 ERK XMD8-87 ACK XMD8-92 ERK Y15 FAK Y-27632 ROCK Y-33075 ROCK Y-39983 HCl ROCK YKL-05-099 Salt-inducible Kinase (SIK) YLF-466D AMPK YM-201636 Autophagy; PI3K; PIKfyve YU238259 DNA-PK Zanubrutinib Btk ZD-4190 EGFR; VEGFR ZINC00881524 ROCK ZINC00881524 (ROCK inhibitor) ROCK ZLN024 (hydrochloride) AMPK ZM 306416 VEGFR ZM 323881 HCl VEGFR ZM 336372 Raf ZM 39923 HCl JAK ZM 447439 Aurora Kinase ZM39923 (hydrochloride) JAK ZM-447439 Aurora Kinase Zotarolimus(ABT-578) mTOR ZSTK474 PI3K

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[0226] [1] Bhola N E, Jansen V M, Bafna S, Giltnane J M, Balko J M, et al. (2014) Kinome-wide functional screen identifies role of PLK1 in hormone-independent, ER-positive breast cancer. Cancer Research—Therapeutics, Targets, and Chemical Biology. DOI: 10.1158/0008-5472.CAN-14-2475. [0227] [2] Maire V, Némati F, Richardson M, Vincent-Salomon A, Tesson B, et al. (2012) Cancer Research—Therapeutics, Targets, and Chemical Biology. DOI: 10.1158/0008-5472.CAN-12-2633.

[0228] The features of the present invention disclosed in the specification, the claims, and/or in the accompanying figures may, both separately and in any combination thereof, be material for realizing the invention in various forms thereof.